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NEW QUESTION 23
An agency collects census information within a country to determine healthcare and social program needs by province and city. The census form collects responses for approximately 500 questions from each citizen Which combination of algorithms would provide the appropriate insights? (Select TWO )

A. The k-means algorithmB. The Latent Dirichlet Allocation (LDA) algorithmC. The principal component analysis (PCA) algorithmD. The factorization machines (FM) algorithmE. The Random Cut Forest (RCF) algorithm

Answer: A,C

Explanation:
The PCA and K-means algorithms are useful in collection of data using census form.

 

NEW QUESTION 24
This graph shows the training and validation loss against the epochs for a neural network The network being trained is as follows
* Two dense layers one output neuron
* 100 neurons in each layer
* 100 epochs
* Random initialization of weights

Which technique can be used to improve model performance in terms of accuracy in the validation set?

A. Adding another layer with the 100 neuronsB. Early stoppingC. Random initialization of weights with appropriate seedD. Increasing the number of epochs

Answer: A

 

NEW QUESTION 25
A company uses a long short-term memory (LSTM) model to evaluate the risk factors of a particular energy sector. The model reviews multi-page text documents to analyze each sentence of the text and categorize it as either a potential risk or no risk. The model is not performing well, even though the Data Scientist has experimented with many different network structures and tuned the corresponding hyperparameters.
Which approach will provide the MAXIMUM performance boost?

A. Initialize the words by term frequency-inverse document frequency (TF-IDF) vectors pretrained on a large collection of news articles related to the energy sector.B. Initialize the words by word2vec embeddings pretrained on a large collection of news articles related to the energy sector.C. Reduce the learning rate and run the training process until the training loss stops decreasing.D. Use gated recurrent units (GRUs) instead of LSTM and run the training process until the validation loss stops decreasing.

Answer: C

 

NEW QUESTION 26
A company has collected customer comments on its products, rating them as safe or unsafe, using decision trees. The training dataset has the following features: id, date, full review, full review summary, and a binary safe/unsafe tag. During training, any data sample with missing features was dropped. In a few instances, the test set was found to be missing the full review text field.
For this use case, which is the most effective course of action to address test data samples with missing features?

A. Use an algorithm that handles missing data better than decision trees.B. Generate synthetic data to fill in the fields that are missing data, and then run through the test set.C. Copy the summary text fields and use them to fill in the missing full review text fields, and then run through the test set.D. Drop the test samples with missing full review text fields, and then run through the test set.

Answer: C

Explanation:
In this case, a full review summary usually contains the most descriptive phrases of the entire review and is a valid stand-in for the missing full review text field.

 

NEW QUESTION 27
A company is observing low accuracy while training on the default built-in image classification algorithm in Amazon SageMaker. The Data Science team wants to use an Inception neural network architecture instead of a ResNet architecture.
Which of the following will accomplish this? (Select TWO.)

A. Create a support case with the SageMaker team to change the default image classification algorithm to Inception.B. Use custom code in Amazon SageMaker with TensorFlow Estimator to load the model with an Inception network and use this for model training.C. Bundle a Docker container with TensorFlow Estimator loaded with an Inception network and use this for model training.D. Customize the built-in image classification algorithm to use Inception and use this for model training.E. Download and apt-get install the inception network code into an Amazon EC2 instance and use this instance as a Jupyter notebook in Amazon SageMaker.

Answer: B,D

 

NEW QUESTION 28
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